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Title of Journal: Climatic Change

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Abbravation: Climatic Change

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Springer Netherlands

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DOI

10.1007/bf00775205

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1573-1480

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Accounting for radiative forcing from albedo chang

Authors: Andrew D Jones Katherine V Calvin William D Collins James Edmonds
Publish Date: 2015/04/22
Volume: 131, Issue: 4, Pages: 691-703
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Abstract

We demonstrate the effectiveness of a new method for quantifying radiative forcing from land use and land cover change LULCC within an integrated assessment model the Global Change Assessment Model GCAM The method relies on geographically differentiated estimates of radiative forcing from albedo change associated with major land cover transitions derived from the Community Earth System Model We find that conversion of 1 km2 of woody vegetation forest and shrublands to nonwoody vegetation crops and grassland yields between 0 and −071 nW/m2 of globally averaged radiative forcing determined by the vegetation characteristics snow dynamics and atmospheric radiation environment characteristic within each of 151 regions we consider globally Across a set of scenarios designed to span a range of potential future LULCC we find LULCC forcing ranging from −006 to −029 W/m2 by 2070 depending on assumptions regarding future crop yield growth and whether climate policy favors afforestation or bioenergy crops Inclusion of this previously uncounted forcing in the policy targets driving future climate mitigation efforts leads to changes in fossil fuel emissions on the order of 15 PgC/yr by 2070 for a climate forcing limit of 45 Wm−2 corresponding to a 12–67  change in fossil fuel emissions depending on the scenario Scenarios with significant afforestation must compensate for albedoinduced warming through additional emissions reductions and scenarios with significant deforestation need not mitigate as aggressively due to albedoinduced cooling In all scenarios considered inclusion of albedo forcing in policy targets increases forest and shrub cover globallyThis research was supported by the Office of Science of the US Department of Energy as part of the Improving the Representations of HumanEarth System Interactions Project This work used the Community Earth System Model CESM and the Global Change Assessment Model GCAM The National Science Foundation and the Office of Science of the US Department of Energy support the CESM project The authors acknowledge longterm support for GCAM development from the Integrated Assessment Research Program in the Office of Science of the US Department of Energy This research used resources of the National Energy Research Scientific Computing Center which is supported by the Office of Science of the US Department of Energy under Contract No DEAC020 5CH11231 Battelle Memorial Institute operates the Pacific Northwest National Laboratory for DOE under contract DEAC0676RLO 1830 Lawrence Berkeley National Laboratory is supported by the US Department of Energy under Contract No DEAC020 5CH11231


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